{"id":15125,"date":"2020-01-31T08:19:19","date_gmt":"2020-01-31T06:19:19","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=15125"},"modified":"2020-02-06T10:33:16","modified_gmt":"2020-02-06T08:33:16","slug":"analytics-news-januar-2020","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-januar-2020\/","title":{"rendered":"Janu\u00e1rov\u00e1 n\u00e1dielka noviniek od Googlu"},"content":{"rendered":"

S Data Studio Community Visualizations posuniete va\u0161e reporty na nov\u00fd level<\/h2>\n

Pozn\u00e1te ten pocit, ke\u010f chcete v Data Studiu<\/a> vizualizova\u0165 va\u0161e d\u00e1ta u\u017e\u00edvate\u013esky pr\u00edvetiv\u00fdm sp\u00f4sobom, ale ste limitovan\u00ed mo\u017enos\u0165ami tohto n\u00e1stroja. Na zn\u00e1zornenie funnelu v Data Studiu<\/a> existuje mno\u017estvo „hackov“, ani jeden z nich v\u0161ak nie je to prav\u00e9 orechov\u00e9<\/em>. Ale pozor, za\u010dalo sa bl\u00fdska\u0165 na lep\u0161ie \u010dasy!<\/p>\n

Data Studio Community Visualizations<\/a> umo\u017e\u0148uje vytv\u00e1ra\u0165 a integrova\u0165 vlastn\u00e9 komponenty postaven\u00e9 na b\u00e1ze JavaScriptu<\/a>, ktor\u00e9 n\u00e1sledne m\u00f4\u017ee ktoko\u013evek pou\u017e\u00edva\u0165 v svojich reportoch. Zatia\u013e je tak\u00fdchto komunitn\u00fdch komponentov len zop\u00e1r, ale n\u00e1jdete medzi nimi aj chu\u0165ovky ako napr\u00edklad Gantov diagram, u\u017e spom\u00ednan\u00fd funnel, ale napr\u00edklad aj Country\/Currency selector, v\u010faka ktor\u00e9mu bude v\u00e1\u0161 report ove\u013ea intuit\u00edvnej\u0161\u00ed na pou\u017e\u00edvanie.<\/p>\n

Nov\u00e9 komuntitn\u00e9 komponenty do Data Studia n\u00e1jdete tu<\/a>.<\/p>\n

\"Community<\/p>\n

Ak chcete prida\u0165 niektor\u00fd z komponentov do v\u00e1\u0161ho reportu, vyberiete si ho z ponuky na hornej li\u0161te pod „Community chart“.<\/p>\n

\"Community<\/p>\n

Viac na: Google Blog<\/a><\/p>\n

Target ROAS bid simulator pre Google Ads<\/h2>\n

Simul\u00e1tory cenov\u00fdch pon\u00fak pre kampane s manu\u00e1lnym nastavovan\u00edm bidu a pre cie\u013eov\u00fa CZA pozn\u00e1me v Google Ads u\u017e nejak\u00fd ten piatok. Teraz k nim pribudla aj strat\u00e9gia target ROAS. Ako v\u00e1m tento simul\u00e1tor m\u00f4\u017ee pom\u00f4c\u0165?\u00a0N\u00e1jdete v\u010faka nemu hodnotu cie\u013eovej ROAS, pri ktorej s\u00fa va\u0161e kampane najefekt\u00edvnej\u0161ie<\/strong>.<\/p>\n

Target ROAS bid simul\u00e1tor zobrazuje vz\u0165ah medzi n\u00e1vratnos\u0165ou n\u00e1kladov na reklamu a va\u0161imi k\u013e\u00fa\u010dov\u00fdmi metrikami. Nastavte v simul\u00e1tore vy\u0161\u0161iu, resp. ni\u017e\u0161iu hodnotu ROAS a na z\u00e1klade historick\u00fdch d\u00e1t za posledn\u00fdch 7 dn\u00ed v\u00e1m syst\u00e9m uk\u00e1\u017ee, ak\u00fd v\u00fdkon by mala va\u0161a kampa\u0148 pri tomto nastaven\u00ed. Pou\u017e\u00edvanie je intuit\u00edvne, ale o tom pri Google produktoch u\u017e h\u00e1dam ani hovori\u0165 nemus\u00edme.<\/p>\n

\"Target<\/p>\n

Viac na: Google Support<\/a><\/p>\n

\u0160ikovn\u00e1 fi\u010d\u00farka pre analytikov-negrafikov<\/h2>\n

V\u00e4\u010d\u0161inou plat\u00ed, \u017ee analytici nemaj\u00fa pr\u00edli\u0161 ve\u013ek\u00e9 vlohy na grafiku. Google si to zjavne uvedomuje, ke\u010f do Data Studia pridal fi\u010d\u00farku, ktor\u00e1 v\u00e1m navrhne t\u00e9mu z farieb z obr\u00e1zku. Vlo\u017ete do Data Studia napr\u00edklad logo firmy, kliknite na neho prav\u00fdm a vyberte mo\u017enos\u0165 „Extract theme from image“<\/em>.\u00a0Voil\u00e0, hotovo! Odteraz bud\u00fa va\u0161e reporty v korpor\u00e1tnych farb\u00e1ch.<\/p>\n

\"Extract<\/p>\n

Viac na: Google Support<\/a><\/p>\n

Google testuje vlastn\u00e9 dimenzie pre Google Ads<\/h2>\n

Ma\u0165 spr\u00e1vnu a logick\u00fa \u0161trukt\u00faru n\u00e1zvov je absol\u00fatnym z\u00e1kladom a je jedno, \u010di sa bav\u00edme o Google Ads, Google Analytics<\/a>, alebo Google Tag Manageri<\/a>. Niekedy v\u0161ak ani to nemus\u00ed sta\u010di\u0165 a \u00fa\u010det sa st\u00e1va nepreh\u013eadn\u00fd. Google moment\u00e1lne testuje vlastn\u00e9 dimenzie pre Google Ads, \u010do by mohlo by\u0165 pre spr\u00e1vcov rozsiahlych \u00fa\u010dtov ako dar z neba.<\/p>\n

Pozor, vlastn\u00e9 dimenzie v Google Ads nie je to ist\u00e9 ako v Google Analytics!<\/strong><\/p>\n

Vlastn\u00e9 dimenzie v Google Ads v\u00e1m umo\u017enia prid\u00e1va\u0165 ozna\u010denia ku kampaniam, cez ktor\u00e9 n\u00e1sledne bude mo\u017en\u00e9 zgrupova\u0165 d\u00e1ta a vytv\u00e1ra\u0165 agregovan\u00e9 preh\u013eady. Zmysel to m\u00e1 napr\u00edklad v pr\u00edpade, ak chcete vedie\u0165 porovn\u00e1va\u0165 v\u00fdkon kampan\u00ed naprie\u010d kateg\u00f3riami v e-shope, resp. slu\u017ebami.<\/p>\n

To v\u0161ak nie je v\u0161etko. Okrem prim\u00e1rnej dimenzie je mo\u017en\u00e9 vytvori\u0165 aj sekund\u00e1rnu dimenziu pre hlb\u0161iu anal\u00fdzu kampan\u00ed. Potenci\u00e1l tejto novinky je obrovsk\u00fd, \u010do mysl\u00edte?<\/p>\n

Viac na: Google Support<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

S Data Studio Community Visualizations posuniete va\u0161e reporty na nov\u00fd level Pozn\u00e1te ten pocit, ke\u010f chcete v Data…<\/p>\n","protected":false},"author":70,"featured_media":15140,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[668],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15125"}],"collection":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/users\/70"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=15125"}],"version-history":[{"count":11,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15125\/revisions"}],"predecessor-version":[{"id":15213,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/15125\/revisions\/15213"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/15140"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=15125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=15125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=15125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}